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Teradata highlights scalable AI and open data integration as critical drivers for enterprise growth
- According to a survey by Teradata, 40% of C-suite and AI decision-makers do not believe their company’s data is accurate enough to conclude accurate outcomes. Teradata’s Trusted AI initiative ensures companies have reliable, scalable and actionable data to drive more intelligent business decisions.
- Significant product enhancements have been made to VantageCloud Lake and ClearScape Analytics, offering AI-driven insights that are more accessible to businesses. Teradata has also formed strategic partnerships with major entities such as Amazon Web Services, Google Cloud, and Microsoft Azure to deliver scalable, cloud-native solutions.
- Most recently, Teradata announced collaboration with Nvidia Corp. to integrate Nvidia’s graphics processing unit technology, accelerating AI and machine workloads.
- Trusted AI requires reliable, integrated and harmonized data across various systems, ensuring that the insights generated can guide meaningful business outcomes. Teradata believes that data quality is non-negotiable and AI models function optimally only when the data they work with is accurate and reliable.
- Teradata’s open environment has developed an ecosystem that integrates with industry-standard tools such as Anaconda Inc., DataRobot Inc. and Hugging Face Inc. This ensures that businesses can analyze data without vendor lock-in.
- Scaling AI projects poses significant challenges as organizations grow and deal with increasingly complex workflows. Teradata addresses these scaling challenges through ClearScape Analytics and GPU integration, which enable efficient training and inference, and help in deploying AI projects faster and more accurately.
- Enterprises can use Teradata’s BYOM capability to integrate pre-built models without rebuilding them, reducing time-to-market and supporting quicker AI deployment.
- Teradata’s scalable AI approach is vital for enterprises looking to stay competitive in an AI-driven world, offering the flexibility and power needed to support advanced AI-based insights and initiatives.
- Teradata’s mission to build AI models that drive confident decision-making across organizations is in line with its overarching commitment to maintaining an open and connected ecosystem.
- Teradata’s infrastructure supports different enterprise personas, from data scientists to engineers, to use their preferred coding environments such as structured query language, R programming, and Visual Studio code.
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